Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
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/bingzhilee/contrastive_analysis
공식 코드https://github.com/binh24399/d-close
공식 코드https://github.com/binyisu/food
공식 코드https://github.com/binyisu/fsosod
공식 코드https://github.com/birlrobotics/PMN
공식 코드Pose-based Modular Network for Human-Object Interaction Detection
https://github.com/birlrobotics/vs-gats
공식 코드Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection
https://github.com/bit-ml/dyreg-gnn
공식 코드Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
https://github.com/bit-ml/sftrackpp
공식 코드SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking
https://github.com/bjork-crypto/visled-querying
공식 코드Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
https://github.com/bladewaltz1/clipvid
공식 코드https://github.com/blainehoak/texture-learning
공식 코드https://github.com/blueblue4/object-detection-confidence-bias
공식 코드https://github.com/bluejangbaljang/shunit
공식 코드SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation
https://github.com/bo-miao/HTR
공식 코드Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
https://github.com/bo-miao/sgmg
공식 코드Spectrum-guided Multi-granularity Referring Video Object Segmentation
https://github.com/bobwan1995/PMFNet
공식 코드Pose-aware Multi-level Feature Network for Human Object Interaction Detection
https://github.com/bochenys/rope
공식 코드Occlusion-Robust Object Pose Estimation with Holistic Representation
https://github.com/bogus2000/NOLBO
공식 코드https://github.com/bohao-lee/pdc
공식 코드Proposal Distribution Calibration for Few-Shot Object Detection
https://github.com/bomps4/multi_resolution_rescored_bytetrack
공식 코드Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems
https://github.com/boschresearch/Open3DSG
공식 코드https://github.com/boschresearch/relationfield
공식 코드https://github.com/bowenc0221/boundary-iou-api
공식 코드Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
https://github.com/bradleybin/locate-globally-segment-locally-a-progressive-architecture-with-knowledge-review-network-for-sod
공식 코드Learning Video Salient Object Detection Progressively from Unlabeled Videos
https://github.com/bradyfu/awesome-multimodal-large-language-models
공식 코드Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
https://github.com/bravegroup/dcd
공식 코드Densely Constrained Depth Estimator for Monocular 3D Object Detection
https://github.com/bravegroup/fullysparsefusion
공식 코드https://github.com/bravezzzzzz/iou-enhanced-attention
공식 코드IoU-Enhanced Attention for End-to-End Task Specific Object Detection
https://github.com/bravezzzzzz/recursivedet
공식 코드RecursiveDet: End-to-End Region-based Recursive Object Detection
https://github.com/brendel-group/objects-compositional-generalization
공식 코드Provable Compositional Generalization for Object-Centric Learning
https://github.com/bronyayang/HallE_Switch
공식 코드HallE-Control: Controlling Object Hallucination in Large Multimodal Models
https://github.com/bronyayang/halle_control
공식 코드HallE-Control: Controlling Object Hallucination in Large Multimodal Models
https://github.com/brown-ivl/Cafi-Net
공식 코드Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
https://github.com/brown-palm/ObjectPrompt
공식 코드Object-centric Video Representation for Long-term Action Anticipation
https://github.com/brown-palm/object-states
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.