Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 27
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wuzhenyubuaa/sodgan
공식 코드https://github.com/wvangansbeke/Revisiting-Contrastive-SSL
공식 코드Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
https://github.com/wvuvl/DARMA
공식 코드https://github.com/wxzs5/direct-pretraining
공식 코드https://github.com/wyf-accept/backtoreality
공식 코드Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement
https://github.com/wyhuai/ddnm
공식 코드Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
https://github.com/wyn430/wood
공식 코드https://github.com/wyu-du/gp-vae
공식 코드Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
https://github.com/wyze-AI/AdaptiveDistillation
공식 코드Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
https://github.com/wzaielamri/unmix
공식 코드https://github.com/wzmsltw/adaattn
공식 코드AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
https://github.com/wzmsltw/painttransformer
공식 코드Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
https://github.com/wzq016/pine
공식 코드Eliminating Position Bias of Language Models: A Mechanistic Approach
https://github.com/wzzheng/hass
공식 코드Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection
https://github.com/xahidbuffon/SVAM-Net
공식 코드SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
https://github.com/xahidbuffon/funie-gan
공식 코드Fast Underwater Image Enhancement for Improved Visual Perception
https://github.com/xai4sar/pgd
공식 코드https://github.com/xaiveryuan/patchbackdoor
공식 코드PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification
https://github.com/xandery-geek/badcm
공식 코드BadCM: Invisible Backdoor Attack Against Cross-Modal Learning
https://github.com/xavibou/ovdsat
공식 코드Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
https://github.com/xaviergrool/fgfusion
공식 코드FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection
https://github.com/xdxie/WAS_WordArt-Segmentation
공식 코드https://github.com/xg-chu/gpavatar
공식 코드GPAvatar: Generalizable and Precise Head Avatar from Image(s)
https://github.com/xharlie/btcdet
공식 코드Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
https://github.com/xiangchenyin/pe-yolo
공식 코드PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
https://github.com/xianggao1102/learning-to-incorporate-texture-saliency-adaptive-attention-to-image-cartoonization
공식 코드Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
https://github.com/xianghenghe/Improved_StarGAN_Emotional_Voice_Conversion
공식 코드An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
https://github.com/xiangtodayeatswhat/eaglevision
공식 코드EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing
https://github.com/xiangxu-0103/lima
공식 코드https://github.com/xiangyi-njust/FWS
공식 코드https://github.com/xiangyu-gao/radar-multiple-perspective-object-detection
공식 코드RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition
https://github.com/xiangz-0/evdi
공식 코드Unifying Motion Deblurring and Frame Interpolation with Events
https://github.com/xiangz-0/gem
공식 코드Generalizing Event-Based Motion Deblurring in Real-World Scenarios
https://github.com/xianjun-yang/pcmsp
공식 코드https://github.com/xianjun-yang/pllama
공식 코드PLLaMa: An Open-source Large Language Model for Plant Science
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.