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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/rui-qian/badet
공식 코드https://github.com/rui1223/uniform_object_rearrangement
공식 코드Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces
https://github.com/ruinmessi/ASFF
공식 코드https://github.com/ruiyum/stone
공식 코드STONE: A Submodular Optimization Framework for Active 3D Object Detection
https://github.com/ruizvitor/ANDA
공식 코드ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection
https://github.com/runsong123/unified-lift
공식 코드Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting
https://github.com/ruoyuchen10/vps
공식 코드Interpreting Object-level Foundation Models via Visual Precision Search
https://github.com/rupertluo/vocot
공식 코드VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
https://github.com/russrobin/obj-gsp
공식 코드Object-level Geometric Structure Preserving for Natural Image Stitching
https://github.com/rvandeghen/ASTOD
공식 코드https://github.com/rwgai/rwds
공식 코드Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
https://github.com/ryanhangzhou/bootplace
공식 코드BOOTPLACE: Bootstrapped Object Placement with Detection Transformers
https://github.com/ryanhangzhou/sac-gan
공식 코드https://github.com/ryh1218/fsol
공식 코드https://github.com/ryoo72/una
공식 코드Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
https://github.com/ryylcc/owsol
공식 코드https://github.com/s-sd/spurl
공식 코드Competing for pixels: a self-play algorithm for weakly-supervised segmentation
https://github.com/sabarim/itis
공식 코드https://github.com/sabrikhalil/micro_mobility_detection
공식 코드https://github.com/saccharomycetes/mllm-perceptual-limitation
공식 코드Exploring Perceptual Limitation of Multimodal Large Language Models
https://github.com/sacmehta/EdgeNets
공식 코드ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
https://github.com/safednn-group/naptron
공식 코드Detecting Out-of-distribution Objects Using Neuron Activation Patterns
https://github.com/safednn-group/safednn-clean
공식 코드https://github.com/safouaneelg/FusionVision
공식 코드https://github.com/sagieppel/Classification-of-object-in-a-specific-image-region-using-a-convolutional-neural-net-with-ROI-mask-a
공식 코드Classifying a specific image region using convolutional nets with an ROI mask as input
https://github.com/sagieppel/Classification-of-the-material-given-region-of-an-image-using-a-convolutional-neural-net-with-attent
공식 코드Classifying a specific image region using convolutional nets with an ROI mask as input
https://github.com/sahalshajim/ss-owformer
공식 코드https://github.com/saidwivedi/InteractVLM
공식 코드InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
https://github.com/sail-sg/ptp
공식 코드Position-guided Text Prompt for Vision-Language Pre-training
https://github.com/sailor-z/dvmnet
공식 코드DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects
https://github.com/sair-lab/airloc
공식 코드https://github.com/saitpublic/doctr
공식 코드DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding
https://github.com/sakharok13/x-ray-teacher-patching-tools
공식 코드https://github.com/salesforce/pb-ovd
공식 코드Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
https://github.com/sallymmx/TransVOS
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.