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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/NathanUA/BASNet
공식 코드Boundary-Aware Segmentation Network for Mobile and Web Applications
https://github.com/OIPLab-DUT/CoNet
공식 코드Accurate RGB-D Salient Object Detection via Collaborative Learning
https://github.com/OVAD-Benchmark/ovad-bechmark-code
공식 코드https://github.com/OpenGVLab/Diffree
공식 코드Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
https://github.com/OpenMask3D/openmask3d
공식 코드https://github.com/OreoChocolate/MUREN
공식 코드Relational Context Learning for Human-Object Interaction Detection
https://github.com/OsmanMalik/SR-PAT-WASPAA-2021
공식 코드Superresolution photoacoustic tomography using random speckle illumination and second order moments
https://github.com/Owen-Liuyuxuan/visualDet3D
공식 코드Ground-aware Monocular 3D Object Detection for Autonomous Driving
https://github.com/Ozzyz/carla-data-export
공식 코드https://github.com/PIX2NVS/NVS2Graph
공식 코드Graph-Based Object Classification for Neuromorphic Vision Sensing
https://github.com/PKU-EPIC/GAPartNet
공식 코드https://github.com/PKU-ICST-MIPL/OPAM_TIP2018
공식 코드Object-Part Attention Model for Fine-grained Image Classification
https://github.com/PNXD/FFL-3DOG
공식 코드Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
https://github.com/PSCLab-ASU/LW-RetinaNet
공식 코드https://github.com/PaddlePaddle/Paddle
공식 코드PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector
https://github.com/PaddlePaddle/PaddleDetection
공식 코드PP-YOLO: An Effective and Efficient Implementation of Object Detector
https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/semi_det/arsl
공식 코드Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/semi_det/semi_detr
공식 코드Semi-DETR: Semi-Supervised Object Detection with Detection Transformers
https://github.com/PanoAsh/ASOD60K
공식 코드ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos
https://github.com/PanoAsh/SA-Net
공식 코드Learning Synergistic Attention for Light Field Salient Object Detection
https://github.com/Panxjia/SPA_CVPR2021
공식 코드Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
https://github.com/ParallelDots/generic-sku-detection-benchmark
공식 코드Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection
https://github.com/Pari-singh/unseen_object_reasoning
공식 코드https://github.com/Pealing/DFFT
공식 코드https://github.com/Pearl-UTexas/DUST-net
공식 코드Distributional Depth-Based Estimation of Object Articulation Models
https://github.com/PeizeSun/OneNet
공식 코드https://github.com/PeizeSun/SparseR-CNN
공식 코드Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
https://github.com/PeizeSun/TransTrack
공식 코드https://github.com/PengyiZhang/SlimYOLOv3
공식 코드SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
https://github.com/Phylliida/investigating-mamba-ioi
공식 코드Investigating the Indirect Object Identification circuit in Mamba
https://github.com/PierfrancescoArdino/SGINet
공식 코드Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
https://github.com/PierreMarza/dynamic_implicit_representations
공식 코드Multi-Object Navigation with dynamically learned neural implicit representations
https://github.com/PkuRainBow/OCNet
공식 코드https://github.com/PkuRainBow/OCNet.pytorch
공식 코드https://github.com/Pointcept/Pointcept
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.