https://github.com/jingyi0000/bimem
공식 코드Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
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/jingzhang617/cascaded_rgbd_sod
공식 코드RGB-D Saliency Detection via Cascaded Mutual Information Minimization
https://github.com/jingzhang617/ebmgsod
공식 코드https://github.com/jinhseo/od-wscl
공식 코드Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
https://github.com/jinlong17/advgps
공식 코드https://github.com/jinlong17/bds-v2v
공식 코드https://github.com/jinlong17/da-detect
공식 코드Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather
https://github.com/jinlong17/v2vlc
공식 코드Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
https://github.com/jinyang06/SamGOP
공식 코드Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model
https://github.com/jinyuanli0012/pgim
공식 코드LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
https://github.com/jinyuanliu-cv/segmif
공식 코드https://github.com/jiwei0921/dsu
공식 코드Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
https://github.com/jiyuuchc/lacss
공식 코드Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing
https://github.com/jiyuuchc/lacss_jax
공식 코드Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing
https://github.com/jkli1998/t-car
공식 코드Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction
https://github.com/jmiemirza/dilam
공식 코드Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions
https://github.com/jmiemirza/dua
공식 코드The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
https://github.com/jnuchenyihong/nafrssr
공식 코드NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution
https://github.com/jo-wang/dpo
공식 코드DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection
https://github.com/joangog/object-detection
공식 코드https://github.com/jocelyney/gdnet
공식 코드Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution
https://github.com/joe-siyuan-qiao/Batch-Channel-Normalization
공식 코드Rethinking Normalization and Elimination Singularity in Neural Networks
https://github.com/joe-siyuan-qiao/DetectoRS
공식 코드DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
https://github.com/joe-siyuan-qiao/WeightStandardization
공식 코드Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
https://github.com/joeduman/Thresholded_event-based-crossing-dataset
공식 코드https://github.com/joellliu/segmentandcomplete
공식 코드https://github.com/joerowelll/comp0132_rjxz25
공식 코드https://github.com/johannestheo/trapped-in-texture-bias
공식 코드Trapped in texture bias? A large scale comparison of deep instance segmentation
https://github.com/johnmaijer/x-few-_cd-fsod
공식 코드NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
https://github.com/johnwuzh/uc-owod
공식 코드https://github.com/jonasannuscheit/rpdac_for_midog22
공식 코드Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge
https://github.com/jongmokkim/mix-unmix
공식 코드MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
https://github.com/jonpappalord/PassNet
공식 코드Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM
https://github.com/joshuafeinglass/vl-detector-eval
공식 코드https://github.com/joshualpf/alignsal
공식 코드https://github.com/joshualpf/dfenet
공식 코드Deep Fourier-embedded Network for Bi-modal Salient Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.