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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://git.openi.org.cn/OpenPointCloud/PCSOD
공식 코드https://gitee.com/HarveyYeung/FPNet-MindSpore.git
공식 코드Frequency Perception Network for Camouflaged Object Detection
https://github.com/1170300714/w2n_wsod
공식 코드W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection
https://github.com/16337093/PnP-FSOD
공식 코드Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
https://github.com/164140757/scm
공식 코드Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration
https://github.com/1e12leon/uemm-air
공식 코드UEMM-Air: A Synthetic Multi-modal Dataset for Unmanned Aerial Vehicle Object Detection
https://github.com/1jsingh/semantic-guidance
공식 코드Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
https://github.com/1ssb/UOD
공식 코드Believing is Seeing: Unobserved Object Detection using Generative Models
https://github.com/343gltysprk/ovow
공식 코드From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
https://github.com/3bobo/lttr
공식 코드https://github.com/3bobo/smat
공식 코드Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking
https://github.com/3dcompat200/3dcompat200
공식 코드3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes
https://github.com/3dlg-hcvc/3dhoi
공식 코드https://github.com/3dlg-hcvc/DuoduoCLIP
공식 코드Duoduo CLIP: Efficient 3D Understanding with Multi-View Images
https://github.com/3dlg-hcvc/M3DRef-CLIP
공식 코드Multi3DRefer: Grounding Text Description to Multiple 3D Objects
https://github.com/3dlg-hcvc/OPD
공식 코드https://github.com/3dlg-hcvc/OPDMulti
공식 코드https://github.com/3dperceptionlab/unrealgrasp
공식 코드https://github.com/3dtopia/omni6d
공식 코드Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation
https://github.com/520xyxyzq/3dgs-cd
공식 코드3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangement
https://github.com/594422814/TransformerTrack
공식 코드Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
https://github.com/7eu7d7/robustdet
공식 코드https://github.com/82magnolia/n_imagenet
공식 코드N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras
https://github.com/924973292/demo
공식 코드DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
https://github.com/924973292/editor
공식 코드Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
https://github.com/924973292/mambapro
공식 코드MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt
https://github.com/983632847/WebUAV-3M
공식 코드https://github.com/983632847/awesome-multimodal-object-tracking
공식 코드https://github.com/99991/htc2022-tud-hhu-version-1
공식 코드Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data
https://github.com/AIS-Bonn/OCVP-object-centric-video-prediction
공식 코드Object-Centric Video Prediction via Decoupling of Object Dynamics and Interactions
https://github.com/ASMIftekhar/VSGNet
공식 코드VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
https://github.com/AbdallahAyman/Imagine2touch
공식 코드https://github.com/ActiveVisionLab/MobileBrick
공식 코드MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices
https://github.com/AhmedZgaren/Coarse-to-fine-Tracker
공식 코드Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters
https://github.com/AikyamLab/hallucinogen
공식 코드HALLUCINOGEN: A Benchmark for Evaluating Object Hallucination in Large Visual-Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.