https://github.com/dahyun-kang/lazygrounding
공식 코드In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
Papers with Code 아카이브
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/daijifeng001/r-fcn
공식 코드R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/daip13/LPC_MOT
공식 코드https://github.com/dair-iitd/degpr
공식 코드DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
https://github.com/daixinghome/Distill_GID_detectron2
공식 코드https://github.com/damo-cv/GiraffeDet
공식 코드https://github.com/damo-nlp-sg/vcd
공식 코드Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
https://github.com/damo-nlp-sg/videorefer
공식 코드VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
https://github.com/danfenghong/ieee_tip_uiu-net
공식 코드https://github.com/daniel-xsy/bev-attack
공식 코드On the Adversarial Robustness of Camera-based 3D Object Detection
https://github.com/daniel3303/storyreasoning
공식 코드StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation
https://github.com/daniellehot/Underwater-Fish-Environment
공식 코드https://github.com/danielshkao/thinkvideo
공식 코드ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts
https://github.com/daoyuan98/odm
공식 코드Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection
https://github.com/daoyuan98/sdt-hoi
공식 코드https://github.com/dataiku-research/transferability_metrics_for_object_detection
공식 코드https://github.com/david-svitov/AmphibianDetector
공식 코드AmphibianDetector: adaptive computation for moving objects detection
https://github.com/davrempe/caspr
공식 코드CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
https://github.com/davrempe/predicting-physical-dynamics
공식 코드https://github.com/davzha/mesh
공식 코드Unlocking Slot Attention by Changing Optimal Transport Costs
https://github.com/dawn-ech/yolc
공식 코드YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images
https://github.com/dawn-lx/openvoc-vidvrd
공식 코드Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
https://github.com/dawning77/nerrf
공식 코드https://github.com/dawnyc/romtrack
공식 코드https://github.com/dbash/lasagna
공식 코드Lasagna: Layered Score Distillation for Disentangled Object Relighting
https://github.com/dbash/zerowaste
공식 코드ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
https://github.com/dcdcvgroup/layout-diffusion-mindspore
공식 코드LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
https://github.com/dddraxxx/weakly-supervised-camouflaged-object-detection-with-scribble-annotations
공식 코드Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
https://github.com/ddjiajun/SSVD
공식 코드https://github.com/decayale/rnnpose
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/deepmind/deepmind-research
공식 코드Multi-Object Representation Learning with Iterative Variational Inference
https://github.com/deepmind/spriteworld
공식 코드https://github.com/deku-0621/tide
공식 코드https://github.com/dengpingfan/sodbenchmark
공식 코드https://github.com/dengyuhai/ms-ugcml
공식 코드Unsupervised Collaborative Metric Learning with Mixed-Scale Groups for General Object Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.