https://github.com/CurryYuan/ZSVG3D
공식 코드Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
Papers with Code 아카이브
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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/D0352276/SFPN-Synthetic-FPN-for-Object-Detection
공식 코드https://github.com/D3lt4lph4/jpeg_deep
공식 코드Object Detection in the DCT Domain: is Luminance the Solution?
https://github.com/DC1991/G2L_Net
공식 코드G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
https://github.com/DLR-RM/AugmentedAutoencoder
공식 코드Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
https://github.com/DLR-RM/DistinctNet
공식 코드"What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences
https://github.com/DTaoo/Discriminative-Sounding-Objects-Localization
공식 코드Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
https://github.com/DanaCohen95/Set-the-Scene
공식 코드Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
https://github.com/DanceTrack/DanceTrack
공식 코드DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
https://github.com/Dayan-Guan/UaDAN
공식 코드Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
https://github.com/DeLightCMU/CASD
공식 코드Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
https://github.com/DeepanChakravarthiPadmanabhan/dext
공식 코드https://github.com/DengPingFan/BBS-Net
공식 코드https://github.com/DengPingFan/CoEGNet
공식 코드https://github.com/DengPingFan/D3NetBenchmark
공식 코드Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
https://github.com/DengPingFan/S-measure
공식 코드https://github.com/DengPingFan/SOC-DataAug
공식 코드https://github.com/DequanWang/CoDeNet
공식 코드CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs
https://github.com/DirtyHarryLYL/DJ-RN
공식 코드Detailed 2D-3D Joint Representation for Human-Object Interaction
https://github.com/DirtyHarryLYL/HAKE-Action-Torch
공식 코드HOI Analysis: Integrating and Decomposing Human-Object Interaction
https://github.com/DirtyHarryLYL/SymNet
공식 코드https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network
공식 코드Transferable Interactiveness Knowledge for Human-Object Interaction Detection
https://github.com/Div99/W-Stereo-Disp
공식 코드https://github.com/Divadi/MTC_RCNN
공식 코드https://github.com/Dong-JinKim/DenseRelationalCaptioning
공식 코드Dense Relational Image Captioning via Multi-task Triple-Stream Networks
https://github.com/DongSky/lbba_boosted_wsod
공식 코드Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
https://github.com/Duankaiwen/CPNDet
공식 코드Corner Proposal Network for Anchor-free, Two-stage Object Detection
https://github.com/Duankaiwen/CenterNet
공식 코드https://github.com/Duankaiwen/LSNet
공식 코드https://github.com/Duankaiwen/PyCenterNet
공식 코드https://github.com/Dwrety/mmdetection-selective-iou
공식 코드Solving Missing-Annotation Object Detection with Background Recalibration Loss
https://github.com/EGO4D/episodic-memory/tree/main/EgoTracks
공식 코드EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
https://github.com/ESanchezLozano/SAIC-Unsupervised-landmark-detection-NeurIPS2019
공식 코드https://github.com/Eaphan/Robust3DOD
공식 코드https://github.com/EarlMadSec/invis-perturbations
공식 코드Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect
https://github.com/EaseOnway/oocdm
공식 코드Learning Causal Dynamics Models in Object-Oriented Environments
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.