Papers with Code 아카이브
2D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yuhengsss/yolov
공식 코드YOLOV: Making Still Image Object Detectors Great at Video Object Detection
https://github.com/yuhongtian17/spatial-transform-decoupling
공식 코드https://github.com/yuhongtian17/vic
공식 코드Vision Calorimeter: Migrating Visual Object Detector to High-energy Particle Images
https://github.com/yuhsss/bscgnet
공식 코드https://github.com/yuhuan-wu/EDN
공식 코드EDN: Salient Object Detection via Extremely-Downsampled Network
https://github.com/yuhuan-wu/P2T
공식 코드https://github.com/yuhuan-wu/RDPNet
공식 코드Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
https://github.com/yuhuayc/da-faster-rcnn
공식 코드Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/yukang2017/Stitcher
공식 코드https://github.com/yummy198913/iv-tuning
공식 코드IV-tuning: Parameter-Efficient Transfer Learning for Infrared-Visible Tasks
https://github.com/yun-liu/DNA
공식 코드DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection
https://github.com/yun-liu/hat-net
공식 코드https://github.com/yun-liu/rcf
공식 코드https://github.com/yunfan1202/Delving-into-Crispness
공식 코드Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
https://github.com/yunfan1202/NEF_code
공식 코드NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
https://github.com/yunfan1202/STEdge
공식 코드STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
https://github.com/yungecui/link3d
공식 코드LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud
https://github.com/yuqiuyuqiu/abiu-net
공식 코드Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net
https://github.com/yurongyou/asyncdepth
공식 코드https://github.com/yurongyou/hindsight
공식 코드Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
https://github.com/yurongyou/rote-da
공식 코드Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
https://github.com/yutongwangbit/goreloc
공식 코드GOReloc: Graph-based Object-Level Relocalization for Visual SLAM
https://github.com/yuweihao/mambaout
공식 코드https://github.com/yuyangsunshine/abr_iod
공식 코드Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
https://github.com/yuyi1005/point2rbox-mmrotate
공식 코드https://github.com/yuyi1005/whollywood
공식 코드https://github.com/yuyi1005/whollywood-jittor
공식 코드https://github.com/yuyue2uofa/simicl
공식 코드https://github.com/ywangeq/PointSeg
공식 코드PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
https://github.com/yws-wxs/vminet
공식 코드A Separable Self-attention Inspired by the State Space Model for Computer Vision
https://github.com/ywwynm/smr
공식 코드Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
https://github.com/ywx-hub/ALWA
공식 코드https://github.com/ywyeli/place3d
공식 코드Is Your LiDAR Placement Optimized for 3D Scene Understanding?
https://github.com/yxb-nku/strip-r-cnn
공식 코드Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection
https://github.com/yxgong0/crpd
공식 코드Unified Chinese License Plate Detection and Recognition with High Efficiency
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.