https://github.com/robert-xiaoqiang/ds-net
공식 코드Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images
Papers with Code 아카이브
2D Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/robert80203/HuPR-A-Benchmark-for-Human-Pose-Estimation-Using-Millimeter-Wave-Radar
공식 코드HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar
https://github.com/robertwyq/frustum
공식 코드FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection
https://github.com/robertwyq/lsmol
공식 코드https://github.com/robertwyq/panoocc
공식 코드PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
https://github.com/robin-wzq/daa
공식 코드Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models
https://github.com/robin-wzq/iba
공식 코드Towards Invisible Backdoor Attack on Text-to-Image Diffusion Model
https://github.com/robin-wzq/t2ishield
공식 코드T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
https://github.com/robingerster7/ossa
공식 코드https://github.com/roboflow-ai/roboflow-100-benchmark
공식 코드Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark
https://github.com/roboflow/rf100-vl
공식 코드Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
https://github.com/robotic-vision-lab/Deep-Ensembles-For-Probabilistic-Object-Detection
공식 코드An Uncertainty Estimation Framework for Probabilistic Object Detection
https://github.com/robotology/online-detection
공식 코드Fast Region Proposal Learning for Object Detection for Robotics
https://github.com/robustinsight/constscene
공식 코드https://github.com/robustsam/RobustSAM
공식 코드https://github.com/rocavincent/iguane_harmonization
공식 코드IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images
https://github.com/rocketappslab/bdmm
공식 코드Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
https://github.com/rohban-lab/trodo
공식 코드https://github.com/rohit901/cooperative-foundational-models
공식 코드Enhancing Novel Object Detection via Cooperative Foundational Models
https://github.com/rolnicklab/fomo-bench
공식 코드https://github.com/rolnicklab/imagenetbiodiversity
공식 코드https://github.com/ron-amit/pac_bayes_reg
공식 코드https://github.com/rongyaofang/feataug-detr
공식 코드FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation
https://github.com/rosenzhang/crocosum
공식 코드CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization
https://github.com/rossqin/RQNet
공식 코드A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations
https://github.com/roth-hex-lab/asdf
공식 코드ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation
https://github.com/row11n/prova
공식 코드https://github.com/rowitzou/dams
공식 코드Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining
https://github.com/roydenwa/cell-centroid-former
공식 코드CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection
https://github.com/roydenwa/pseudo-colorize-masked-cells
공식 코드https://github.com/roymiles/simple-recipe-distillation
공식 코드Understanding the Role of the Projector in Knowledge Distillation
https://github.com/roymiles/vkd
공식 코드$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections
https://github.com/roysoumya/brand-consistency-framework
공식 코드https://github.com/rozumden/DeFMO
공식 코드https://github.com/rozumden/FMODetect
공식 코드https://github.com/rozumden/ShapeFromBlur
공식 코드Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.