https://github.com/house-yuyu/mdda-former
공식 코드Joint multi-dimensional dynamic attention and transformer for general image restoration
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/howard1337/S2VC
공식 코드S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations
https://github.com/howiema/cvthead
공식 코드CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer
https://github.com/hplqaq/sam-deblur
공식 코드https://github.com/hq-deng/RD4AD
공식 코드Anomaly Detection via Reverse Distillation from One-Class Embedding
https://github.com/hqjenny/CoDeNet
공식 코드CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs
https://github.com/hrcheng1066/awesome-pruning
공식 코드A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
https://github.com/hrlblab/CircleNet
공식 코드https://github.com/hrlblab/open-eoe
공식 코드https://github.com/hrlblab/weightedcirclefusion
공식 코드Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results
https://github.com/hs-oh-prml/durflexevc
공식 코드https://github.com/hsd1121/PointCloudProcessing
공식 코드Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR
https://github.com/hse1032/Adversarial-Generation-of-Hierarchical-Gaussians-for-3D-Generative-Model
공식 코드GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
https://github.com/hsiangwei0903/Deep-EIoU
공식 코드Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports
https://github.com/hsiangwei0903/SportsMOT
공식 코드Observation Centric and Central Distance Recovery on Sports Player Tracking
https://github.com/hsm316/llm_wikipedia
공식 코드https://github.com/hsouri/Sleeper-Agent
공식 코드Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
https://github.com/hsouri/battle-of-the-backbones
공식 코드Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
https://github.com/hsouri/gdp
공식 코드Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
https://github.com/hsuvas/hoaxpedia_dataset
공식 코드https://github.com/hszhao/ICNet
공식 코드ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/hszhao/PSPNet
공식 코드https://github.com/htdt/self-supervised
공식 코드https://github.com/htqin/IR-Net
공식 코드Forward and Backward Information Retention for Accurate Binary Neural Networks
https://github.com/htqin/awesome-model-quantization
공식 코드https://github.com/httle/ars-detr
공식 코드ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection
https://github.com/hu64/RN-VID
공식 코드https://github.com/hu64/SpotNet
공식 코드SpotNet: Self-Attention Multi-Task Network for Object Detection
https://github.com/hu64/ffavod
공식 코드FFAVOD: Feature Fusion Architecture for Video Object Detection
https://github.com/huaaaliu/rgbx_semantic_segmentation
공식 코드CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
https://github.com/huage001/adaattn
공식 코드AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
https://github.com/huage001/dynast
공식 코드DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
https://github.com/huage001/painttransformer
공식 코드Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
https://github.com/huage001/transfer-any-style
공식 코드Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate
https://github.com/huajianup/photo-slam
공식 코드https://github.com/huangleiBuaa/IterNorm
공식 코드Iterative Normalization: Beyond Standardization towards Efficient Whitening
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.