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2D Classification

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/alalagong/LEDNet

Deep Residual Learning for Image Recognition

https://github.com/alannguyencs/maskrcnn

RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

https://github.com/albanie/collaborative-experts

Squeeze-and-Excitation Networks

https://github.com/albanie/mcnSENets

Squeeze-and-Excitation Networks

https://github.com/albertmillan/adversarial-training-pytorch

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/albertopolito/CarSNN

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks

https://github.com/albertotestoni/ndq_visual_objects

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

https://github.com/albertpumarola/D-NeRF

D-NeRF: Neural Radiance Fields for Dynamic Scenes

https://github.com/albertsokol/pneumothorax-detection-unet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/albertsokol/yolov3-tf2

YOLOv3: An Incremental Improvement

https://github.com/albumentations-team/albumentations

Random Erasing Data Augmentation

https://github.com/alcaster/Binary-yolo

YOLO9000: Better, Faster, Stronger

https://github.com/alcunha/iwildcam2021ufam

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

https://github.com/aldipiroli/semantic_spray_dataset

SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions

https://github.com/aldipiroli/yolo-v1

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/alecwangcq/KFAC-Pytorch

Deep Residual Learning for Image Recognition

https://github.com/alegonz/kdsb17

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

https://github.com/aleksispi/drl-rpn-tf

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/alex-f1tor/Image-Caption

Deep Residual Learning for Image Recognition

https://github.com/alexa/wqa-cascade-transformers

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

https://github.com/alexalm4190/Mask_RCNN-Vizzy_Hand

Mask R-CNN

https://github.com/alexander-g/inbd

Automatic Wood Pith Detector: Local Orientation Estimation and Robust Accumulation

https://github.com/alexander-pv/maskrcnn_tf2

Mask R-CNN

https://github.com/alexanderivanov2424/CSCI-1430-Final-Project

A Neural Algorithm of Artistic Style

https://github.com/alexanderrubinstein/occam

ImageNet Large Scale Visual Recognition Challenge

https://github.com/alexattia/simpsonrecognition

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/alexdenker/SteerableConditionalDiffusion

Diffusion Posterior Sampling for General Noisy Inverse Problems

https://github.com/alexeyab/yolor

You Only Learn One Representation: Unified Network for Multiple Tasks

https://github.com/alexis-jacq/Pytorch-Tutorials

A Neural Algorithm of Artistic Style

https://github.com/alexisbdr/warehouse-anomaly

Abnormal Event Detection in Videos using Spatiotemporal Autoencoder

https://github.com/alexismailov2/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/alexjc/neural-enhance

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/alexklibisz/deep-calcium

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/alexmehta/nac-tcn-tcns-with-causal-na

Dilated Neighborhood Attention Transformer

https://github.com/alexquach/cycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/alexromano/nerve-segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.