# 深度学习论文

**Repository Path**: YuChuanLiu/deep-learning-thesis

## Basic Information

- **Project Name**: 深度学习论文
- **Description**: 个人深度学习论文记录，包括目标检测、语义分割、实例分割、自动驾驶等相关内容
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 4
- **Forks**: 0
- **Created**: 2022-07-21
- **Last Updated**: 2025-04-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: 车道线检测, 实例分割, 目标检测, 语义分割, 深度学习

## README

# 深度学习论文

## 目标检测

- [x] [**YOLOX: Exceeding YOLO Series in 2021**](./目标检测/YOLOX%20Exceeding%20YOLO%20Series%20in%202021.md)
- [x] [**Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection**](./目标检测/Generalized%20Focal%20Loss%20Learning%20Qualified%20and%20Distributed%20Bounding%20Boxes%20for%20Dense%20Object%20Detection.md)
- [x] [**Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection**](./目标检测/Generalized%20Focal%20Loss%20V2%20Learning%20Reliable%20Localization%20Quality%20Estimation%20for%20Dense%20Object%20Detection.md)
- [x] [**FCOS: Fully Convolutional One-Stage Object Detection**](./目标检测/FCOS%20Fully%20Convolutional%20One-Stage%20Object%20Detection.md)
- [x] [**Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection**](./目标检测/Bridging%20the%20Gap%20Between%20Anchor-based%20and%20Anchor-free%20Detection%20via%20Adaptive%20Training%20Sample%20Selection.md)
- [x] [**EfficientDet: Scalable and Efficient Object Detection**](./目标检测/EfficientDet%20Scalable%20and%20Efficient%20Object%20Detection.md)
- [x] [**Objects as Points**](./目标检测/Objects%20as%20Points.md)
- [x] [**End-to-End Object Detection with Transformers**](./目标检测/End-to-End%20Object%20Detection%20with%20Transformers.md)
- [x] [**Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation**](./目标检测/Enhancing%20Geometric%20Factors%20in%20Model%20Learning%20and%20Inference%20for%20Object%20Detection%20and%20Instance%20Segmentation.md)

## 实例分割

- [x] [**SOLO: Segmenting Objects by Locations**](./实例分割/SOLO%20Segmenting%20Objects%20by%20Locations.md)
- [x] [**SOLOv2: Dynamic and Fast Instance Segmentation**](./实例分割/SOLOv2%20Dynamic%20and%20Fast%20Instance%20Segmentation.md)
- [x] [**YOLACT Real-time Instance Segmentation**](./实例分割/YOLACT%20Real-time%20Instance%20Segmentation.md)
- [x] [**YOLACT++ Better Real-time Instance Segmentation**](./实例分割/YOLACT%20Real-time%20Instance%20Segmentation.md)
- [x] [**Path Aggregation Network for Instance Segmentation**](./实例分割/Path%20Aggregation%20Network%20for%20Instance%20Segmentation.md)
- [x] [**Conditional Convolutions for Instance Segmentation**](./实例分割/Conditional%20Convolutions%20for%20Instance%20Segmentation.md)
- [x] [**CenterMask : Real-Time Anchor-Free Instance Segmentation**](./实例分割/CenterMask%20%20Real-Time%20Anchor-Free%20Instance%20Segmentation.md)
- [x] [**Mask Encoding for Single Shot Instance Segmentation**](./实例分割/Mask%20Encoding%20for%20Single%20Shot%20Instance%20Segmentation.md)
- [x] [**BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation**](./实例分割/BlendMask%20Top-Down%20Meets%20Bottom-Up%20for%20Instance%20Segmentation.md)

## 语义分割

- [x] [**Fast-SCNN: Fast Semantic Segmentation Network**](./语义分割/Fast-SCNN%20Fast%20Semantic%20Segmentation%20Network.md)
- [x] [**BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation**](./语义分割/BiSeNet%20Bilateral%20Segmentation%20Network%20for%20Real-time%20Semantic%20Segmentation.md)
- [x] [**ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation**](./语义分割/ESPNet%20Efficient%20Spatial%20Pyramid%20of%20Dilated%20Convolutions%20for%20Semantic%20Segmentation.md)
- [x] [**ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network**](./语义分割/ESPNetv2%20A%20Light-weight,%20Power%20Efficient,%20and%20General%20Purpose%20Convolutional%20Neural%20Network.md)
- [x] [**Dual Attention Network for Scene Segmentation**](./语义分割/Dual%20Attention%20Network%20for%20Scene%20Segmentation.md)
- [x] [**Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes**](./语义分割/Deep%20Dual-resolution%20Networks%20for%20Real-time%20and%20Accurate%20Semantic%20Segmentation%20of%20Road%20Scenes.md)
- [x] [**LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation**](./语义分割/LEDNet%20A%20Lightweight%20Encoder-Decoder%20Network%20for%20Real-Time%20Semantic%20Segmentation.md)
- [x] [**Panoptic Feature Pyramid Networks**](./语义分割/Panoptic%20Feature%20Pyramid%20Networks.md)
- [x] [**Context Encoding for Semantic Segmentation**](./语义分割/Context%20Encoding%20for%20Semantic%20Segmentation.md)

# 车道线检测

- [x] [**Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes**](./车道线检测/Eigenlanes%20Data-Driven%20Lane%20Descriptors%20for%20Structurally%20Diverse%20Lanes.md)
- [x] [**YOLOP: You Only Look Once for Panoptic Driving Perception**](./车道线检测/YOLOP%20You%20Only%20Look%20Once%20for%20Panoptic%20Driving%20Perception.md)
- [x] [**HybridNets: End-to-End Perception Network**](./车道线检测/HybridNets%20End-to-End%20Perception%20Network.md)
- [x] [**CLRNet Cross Layer Refinement Network for Lane Detection**](./车道线检测/CLRNet%20Cross%20Layer%20Refinement%20Network%20for%20Lane%20Detection.md)
- [x] [**Ultra Fast Structure-aware Deep Lane Detection**](./车道线检测/Ultra%20Fast%20Structure-aware%20Deep%20Lane%20Detection.md)
- [x] [**Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection**](./车道线检测/Keep%20your%20Eyes%20on%20the%20Lane%20Real-time%20Attention-guided%20Lane%20Detection.md)
- [x] [**CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution**](./车道线检测/CondLaneNet%20a%20Top-to-down%20Lane%20Detection%20Framework%20Based%20on%20Conditional%20Convolution.md)
- [x] [**LaneNet: Real-Time Lane Detection Networks for Autonomous Driving**](./车道线检测/LaneNet:%20Real-Time%20Lane%20Detection%20Networks%20for%20Autonomous%20Driving.md)
- [x] [**A Keypoint-based Global Association Network for Lane Detection**](./车道线检测/A%20Keypoint-based%20Global%20Association%20Network%20for%20Lane%20Detection.md)
- [x] [**Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks**](./车道线检测/Robust%20Lane%20Detection%20from%20Continuous%20Driving%20Scenes%20Using%20Deep%20Neural%20Networks.md)
- [x] [**Key Points Estimation and Point Instance Segmentation Approach for Lane Detection**](./车道线检测/Key%20Points%20Estimation%20and%20Point%20Instance%20Segmentation%20Approach%20for%20Lane%20Detection.md)
- [x] [**Towards End-to-End Lane Detection: an Instance Segmentation Approach**](./车道线检测/Towards%20End-to-End%20Lane%20Detection:%20an%20Instance%20Segmentation%20Approach.md)
- [x] [**Spatial As Deep: Spatial CNN for Traffic Scene Understanding**](./车道线检测/Spatial%20As%20Deep:%20Spatial%20CNN%20for%20Traffic%20Scene%20Understanding.md)
- [x] [**Learning Lightweight Lane Detection CNNs by Self Attention Distillation**](./车道线检测/Learning%20Lightweight%20Lane%20Detection%20CNNs%20by%20Self%20Attention%20Distillation.md)
- [x] [**Robust Lane Detection via Expanded Self Attention**](./车道线检测/Robust%20Lane%20Detection%20via%20Expanded%20Self%20Attention.md)
- [x] [**Enhanced free space detection in multiple lanes based on single CNN with scene identification**](./车道线检测/Enhanced%20free%20space%20detection%20in%20multiple%20lanes%20based%20on%20single%20CNN%20with%20scene%20identification.md)
- [x] [**Lane Detection and Classification using Cascaded CNNs**](./车道线检测/Lane%20Detection%20and%20Classification%20using%20Cascaded%20CNNs.md)
- [x] [**RESA: Recurrent Feature-Shift Aggregator for Lane Detection**](./车道线检测/RESA%20Recurrent%20Feature-Shift%20Aggregator%20for%20Lane%20Detection.md)
- [x] [**PolyLaneNet: Lane Estimation via Deep Polynomial Regression**](./车道线检测/PolyLaneNet%20Lane%20Estimation%20via%20Deep%20Polynomial%20Regression.md)
- [x] [**Rethinking Efficient Lane Detection via Curve Modeling**](./车道线检测/Rethinking%20Efficient%20Lane%20Detection%20via%20Curve%20Modeling.md)
- [x] [**Line-CNN:End-to-End Traffic Line Detection With Line Proposal Unit**](./车道线检测/Line-CNN:End-to-End%20Traffic%20Line%20Detection%20With%20Line%20Proposal%20Unit.md)
- [x] [**Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units**](./车道线检测/Lane%20Detection%20Model%20Based%20on%20Spatio-Temporal%20Network%20With%20Double%20Convolutional%20Gated%20Recurrent%20Units.md)
- [x] [**Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer**](./车道线检测/Lane%20Detection%20in%20Low-light%20Conditions%20Using%20an%20Efficient%20Data%20Enhancement%20:%20Light%20Conditions%20Style%20Transfer.md)
- [x] [**LaneAF: Robust Multi-Lane Detection with Affinity Fields**](./车道线检测/LaneAF%20Robust%20Multi-Lane%20Detection%20with%20Affinity%20Fields.md)
- [x] [**End-to-End Lane Marker Detection via Row-wise Classification**](./车道线检测/End-to-End%20Lane%20Marker%20Detection%20via%20Row-wise%20Classification.md)
- [x] [**End-to-end Lane Detection through Differentiable Least-Squares Fitting**](./车道线检测/End-to-end%20Lane%20Detection%20through%20Differentiable%20Least-Squares%20Fitting.md)
- [x] [**Structure Guided Lane Detection**](./车道线检测/Structure%20Guided%20Lane%20Detection.md)