Papers with Code 아카이브
Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ysj9909/DG-SoRA
공식 코드SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning
https://github.com/ysj9909/SHViT
공식 코드SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
https://github.com/ysyscool/PSGLoss
공식 코드https://github.com/ytongbai/SemanticPartDetection
공식 코드https://github.com/yuankaihuo/EasierPath
공식 코드EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
https://github.com/yuanmaoxun/c2former
공식 코드$\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection
https://github.com/yuanmaoxun/calibrated-and-complementary-transformer-for-rgb-infrared-object-detection
공식 코드$\mathbf{C}^2$Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection
https://github.com/yuantn/MI-AOD
공식 코드https://github.com/yuanyunshuang/cosense3d
공식 코드CoSense3D: an Agent-based Efficient Learning Framework for Collective Perception
https://github.com/yuanyunshuang/gevbev
공식 코드https://github.com/yuezhan721/mambasod
공식 코드MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection
https://github.com/yuhangzang/cascadematch
공식 코드Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
https://github.com/yuhangzang/contextdet
공식 코드Contextual Object Detection with Multimodal Large Language Models
https://github.com/yuhangzang/ov-detr
공식 코드https://github.com/yuhao318/UP-ViT
공식 코드https://github.com/yuhao318/mwh
공식 코드https://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/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 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.