https://github.com/davidzhangyuanhan/bamboo
공식 코드Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Papers with Code 아카이브
Object Detection
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dawn-ech/yolc
공식 코드YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images
https://github.com/dbash/zerowaste
공식 코드ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
https://github.com/dbolya/tide
공식 코드TIDE: A General Toolbox for Identifying Object Detection Errors
https://github.com/dc3234/pf
공식 코드A positive feedback method based on F-measure value for Salient Object Detection
https://github.com/dcgm/biblio-dataset
공식 코드BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata Extraction
https://github.com/dddraxxx/weakly-supervised-camouflaged-object-detection-with-scribble-annotations
공식 코드Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
https://github.com/dddzg/up-detr
공식 코드UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
https://github.com/ddjiajun/SSVD
공식 코드https://github.com/deepcam-cn/yolov5-face
공식 코드https://github.com/deeplearning-wisc/stud
공식 코드Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
https://github.com/deeplearning-wisc/vos
공식 코드VOS: Learning What You Don't Know by Virtual Outlier Synthesis
https://github.com/deepmind/deepmind-research
공식 코드Unsupervised Learning of Object Keypoints for Perception and Control
https://github.com/deeppathology/hierarchicalfcos
공식 코드https://github.com/deepplants/vit-pcm
공식 코드https://github.com/deepsemantic/image_captioning
공식 코드https://github.com/deeptibhegde/attentiveprototypesfuda
공식 코드Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
https://github.com/deku-0621/tide
공식 코드https://github.com/dengpingfan/sodbenchmark
공식 코드https://github.com/derekabc/gans-agriculture
공식 코드Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
https://github.com/derrickxunu/cobevt
공식 코드CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
https://github.com/derrickxunu/mpda
공식 코드https://github.com/derryhub/fairmot-attack
공식 코드Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers
https://github.com/destiny301/dpr
공식 코드Patch-based Selection and Refinement for Early Object Detection
https://github.com/detectRecog/ZoomNet
공식 코드ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
https://github.com/devichand579/Instance_seg_teeth
공식 코드Instance Segmentation and Teeth Classification in Panoramic X-rays
https://github.com/devvansh1997/bgvp
공식 코드Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian Dataset
https://github.com/dewenzeng/cl-tci
공식 코드https://github.com/dianzl/sodformer
공식 코드SODFormer: Streaming Object Detection with Transformer Using Events and Frames
https://github.com/digantamisra98/Mish
공식 코드https://github.com/dillonreis/real-time-flying-object-detection_with_yolov8
공식 코드https://github.com/dimitymiller/openset_detection
공식 코드Uncertainty for Identifying Open-Set Errors in Visual Object Detection
https://github.com/dinghaoxuan/oneshotlp
공식 코드A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot
https://github.com/dinghaoxuan/samlp
공식 코드SamLP: A Customized Segment Anything Model for License Plate Detection
https://github.com/dingjiansw101/AerialDetection
공식 코드Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
https://github.com/dingmike001/saliendet-open-detection
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.