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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nutonomy/second.pytorch
공식 코드PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/nv-tlabs/XCube
공식 코드XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
https://github.com/nv-tlabs/cosmos-drive-dreams
공식 코드Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
https://github.com/nvakhoa/mpad
공식 코드Multi-Perspective Data Augmentation for Few-shot Object Detection
https://github.com/nvlabs/al-mdn
공식 코드Active Learning for Deep Object Detection via Probabilistic Modeling
https://github.com/nvlabs/fan
공식 코드https://github.com/nvlabs/freesolo
공식 코드https://github.com/nvlabs/gcvit
공식 코드https://github.com/nvlabs/mambavision
공식 코드https://github.com/nvlabs/radio
공식 코드AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One
https://github.com/nvsclub/shotspeedestimation
공식 코드https://github.com/o937-blip/simir
공식 코드https://github.com/oaishi/3DScene_from_text
공식 코드Static and Animated 3D Scene Generation from Free-form Text Descriptions
https://github.com/obss/sahi
공식 코드Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
https://github.com/ocean146/SimROD
공식 코드SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements
https://github.com/ocnflag/point2seq
공식 코드https://github.com/octree-nn/octformer
공식 코드https://github.com/ofsoundof/dhp
공식 코드https://github.com/ofsoundof/grl-image-restoration
공식 코드Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
https://github.com/ofsoundof/imdn
공식 코드NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
https://github.com/ofsoundof/learning_filter_basis
공식 코드Learning Filter Basis for Convolutional Neural Network Compression
https://github.com/ofsoundof/ntire2022_esr
공식 코드NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
https://github.com/ohayonguy/PMRF
공식 코드Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
https://github.com/oiplab-dut/mfnet
공식 코드MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection
https://github.com/ok-robot/ok-robot
공식 코드OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
https://github.com/okojoalg/dfformer
공식 코드https://github.com/okojoalg/raft-mlp
공식 코드RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?
https://github.com/oldsweet/hsrmamba
공식 코드HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution
https://github.com/oliverrensu/deepmim
공식 코드https://github.com/om-ai-lab/OmDet
공식 코드OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network
https://github.com/om-ai-lab/groundvlp
공식 코드https://github.com/om-ai-lab/ovdeval
공식 코드https://github.com/om-ai-lab/vlm-r1
공식 코드VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
https://github.com/omar9008-eng/Object-Detection-Tracking-2025
공식 코드https://github.com/omaralezaby/mimicked_ali
공식 코드Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.