https://github.com/destiny301/dpr
공식 코드Patch-based Selection and Refinement for Early Object Detection
Papers with Code 아카이브
Object
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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/det1999/shapemaker
공식 코드ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and Deformation
https://github.com/devendrachaplot/Object-Goal-Navigation
공식 코드Object Goal Navigation using Goal-Oriented Semantic Exploration
https://github.com/devlearning-gt/3DShapeGen
공식 코드https://github.com/dexianghong/manet
공식 코드Multi-Attention Network for Compressed Video Referring Object Segmentation
https://github.com/dfki-av/mikasa-3dvg
공식 코드MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding
https://github.com/dhyuan99/hdfe
공식 코드https://github.com/dibschat/openvocab-egoAR
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/dimtziwnas/InHandScanningICCV15_Reconstruction
공식 코드https://github.com/dingdingcai/ove6d-pose
공식 코드OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation
https://github.com/dingdingcai/sc6d-pose
공식 코드SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation
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 코드https://github.com/dingmyu/D4LCN
공식 코드Learning Depth-Guided Convolutions for Monocular 3D Object Detection
https://github.com/dirtyharrylyl/hake-ava
공식 코드Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions
https://github.com/disen-hu/fasterrcnn_fpn_dcn
공식 코드https://github.com/djghosh13/geneval
공식 코드GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
https://github.com/djning/see_beyond_seeing
공식 코드Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation
https://github.com/djordjened92/yudo
공식 코드https://github.com/djukicn/loca
공식 코드A Low-Shot Object Counting Network With Iterative Prototype Adaptation
https://github.com/dkxocl/rosseta
공식 코드Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
https://github.com/dliu5812/PFFNet
공식 코드https://github.com/dlr-mi/utrack
공식 코드https://github.com/dlr-rm/3dobjecttracking
공식 코드Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking
https://github.com/dlr-rm/recall
공식 코드RECALL: Rehearsal-free Continual Learning for Object Classification
https://github.com/dlr-rm/shape-completion
공식 코드https://github.com/dmoltisanti/coficut-cvprw24
공식 코드Coarse or Fine? Recognising Action End States without Labels
https://github.com/dnjs3594/Eigencontours
공식 코드Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation
https://github.com/docf/multispectral-object-detection
공식 코드Cross-Modality Fusion Transformer for Multispectral Object Detection
https://github.com/dongchen06/scooterdet
공식 코드Performance Evaluation of Real-Time Object Detection for Electric Scooters
https://github.com/dongfang-steven-yang/faraway-frustum
공식 코드Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion
https://github.com/donglao/mindelay
공식 코드https://github.com/dongnana777/bridging-non-co-occurrence
공식 코드Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
https://github.com/dornik/sporeagent
공식 코드SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.