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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wpy1999/sat
공식 코드Spatial-Aware Token for Weakly Supervised Object Localization
https://github.com/wqw123wqw/pftrack
공식 코드Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach
https://github.com/wtliao/layout2img
공식 코드Context-Aware Layout to Image Generation with Enhanced Object Appearance
https://github.com/wty-yy/katacr
공식 코드Playing Non-Embedded Card-Based Games with Reinforcement Learning
https://github.com/wudongming97/prompt4driving
공식 코드https://github.com/wudongming97/rmot
공식 코드https://github.com/wufeim/6d_pose_eccv22
공식 코드Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
https://github.com/wufeim/imagenet3d
공식 코드ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
https://github.com/wuhanstudio/adversarial-detection
공식 코드Adversarial Detection: Attacking Object Detection in Real Time
https://github.com/wujunjie1998/tri-he
공식 코드Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models
https://github.com/wusize/clim
공식 코드CLIM: Contrastive Language-Image Mosaic for Region Representation
https://github.com/wusize/ovdet
공식 코드Aligning Bag of Regions for Open-Vocabulary Object Detection
https://github.com/wustl-cig/DeCoLearn
공식 코드Deformation-Compensated Learning for Image Reconstruction without Ground Truth
https://github.com/wuyangluo/siedob
공식 코드SIEDOB: Semantic Image Editing by Disentangling Object and Background
https://github.com/wuyuebupt/doubleheadsrcnn
공식 코드Rethinking Classification and Localization for Object Detection
https://github.com/wuyun8210/partdetection
공식 코드Fine-grained visual recognition with salient feature detection
https://github.com/wuzhenyubuaa/dpnet
공식 코드https://github.com/wuzhenyubuaa/sodgan
공식 코드https://github.com/wuziyi616/multi_part_assembly
공식 코드Breaking Bad: A Dataset for Geometric Fracture and Reassembly
https://github.com/wvangansbeke/MaskDistill
공식 코드Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
https://github.com/wvangansbeke/Unsupervised-Semantic-Segmentation
공식 코드Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
https://github.com/wxzs5/direct-pretraining
공식 코드https://github.com/wyf-accept/backtoreality
공식 코드Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement
https://github.com/xavibou/ovdsat
공식 코드Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
https://github.com/xavier-lin/trackssm
공식 코드https://github.com/xcppy/ws-sgg
공식 코드https://github.com/xcyan/nips16_PTN
공식 코드Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
https://github.com/xduxyli/scen-master
공식 코드Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
https://github.com/xharlie/btcdet
공식 코드Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
https://github.com/xiangchenyin/pe-yolo
공식 코드PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
https://github.com/xiangtodayeatswhat/eaglevision
공식 코드EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing
https://github.com/xianzuwu/fsc
공식 코드https://github.com/xiao-wen-sun/ossa
공식 코드Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
https://github.com/xiaodetection/learning-heavily-degraed-prior
공식 코드Learning Heavily-Degraded Prior for Underwater Object Detection
https://github.com/xiaofeng94/gen-enhanced-negs
공식 코드Generating Enhanced Negatives for Training Language-Based Object Detectors
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.