https://github.com/junchengli1/Sim-Grasp
공식 코드Sim-Grasp: Learning 6-DOF Grasp Policies for Cluttered Environments Using a Synthetic Benchmark
Papers with Code 아카이브
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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jungseoik/CLIP-LOCAR
공식 코드Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
https://github.com/junhyung-SPALab/D-Align
공식 코드https://github.com/junukcha/text2hoi
공식 코드Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
https://github.com/junxuan-li/scps-nir
공식 코드Self-calibrating Photometric Stereo by Neural Inverse Rendering
https://github.com/junyangwang0410/amber
공식 코드AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation
https://github.com/junyanz/VON
공식 코드Visual Object Networks: Image Generation with Disentangled 3D Representation
https://github.com/junzhezhang/mesh-inversion
공식 코드https://github.com/justanhduc/graphx-conv
공식 코드GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
https://github.com/justimyhxu/Dense-RepPoints
공식 코드Dense RepPoints: Representing Visual Objects with Dense Point Sets
https://github.com/jwwangchn/NWD
공식 코드A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
https://github.com/jyfenggogo/instructdet
공식 코드InstructDET: Diversifying Referring Object Detection with Generalized Instructions
https://github.com/jyqi/giraffedet
공식 코드https://github.com/k4ntz/moc
공식 코드Boosting Object Representation Learning via Motion and Object Continuity
https://github.com/k4ntz/oc_atari
공식 코드OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
https://github.com/kai3316/yolic-labeling
공식 코드YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices
https://github.com/kai422/covos
공식 코드Accelerating Video Object Segmentation with Compressed Video
https://github.com/kaist-avelab/k-radar
공식 코드K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
https://github.com/kaistchangmin/sin-nerf2nerf
공식 코드SIn-NeRF2NeRF: Editing 3D Scenes with Instructions through Segmentation and Inpainting
https://github.com/kaiyuyue/nxtp
공식 코드https://github.com/kakaobrain/HOTR
공식 코드HOTR: End-to-End Human-Object Interaction Detection with Transformers
https://github.com/kakituken/affordance-aware-any
공식 코드Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion
https://github.com/kalyan0510/totem
공식 코드https://github.com/kancharlavamshi/icip2023_challenge
공식 코드Overcoming Scene Context Constraints for Object Detection in wild using Defilters
https://github.com/kanezaki/rotationnet
공식 코드https://github.com/kangben258/MCITrack
공식 코드Exploring Enhanced Contextual Information for Video-Level Object Tracking
https://github.com/kartikgupta-at-anu/CullNet
공식 코드CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
https://github.com/kartikvrama/parsec
공식 코드PARSEC: Preference Adaptation for Robotic Object Rearrangement from Scene Context
https://github.com/katadam/objectscanmove
공식 코드Objects Can Move: 3D Change Detection by Geometric Transformation Constistency
https://github.com/kcl-bmeis/ultraflwr
공식 코드UltraFlwr -- An Efficient Federated Medical and Surgical Object Detection Framework
https://github.com/kcshum/pose-conditioned-NeRF-object-fusion
공식 코드Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
https://github.com/kdexd/coco-rem
공식 코드https://github.com/keenyjin/soia-dod
공식 코드https://github.com/kemaloksuz/ObjectDetectionImbalance
공식 코드https://github.com/kemaloksuz/RankSortLoss
공식 코드Rank & Sort Loss for Object Detection and Instance Segmentation
https://github.com/kemo-huang/bitrack
공식 코드BiTrack: Bidirectional Offline 3D Multi-Object Tracking Using Camera-LiDAR Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.