Jinwon Lee

deep learning cnn convolutional neural network object detection deep neural network detection vit fair google facebook ai research od mobilenet vision transformer image classification efficientnet efficient cnn mlp depthwise separable convolution tensorflow pr12 yolo deeplearning google research multi-layer perceptron mlp-mixer transformer attention facebook kaiming he regnet data augmentation you only look once yolov3 mobile cnn mobilenetv2 hardware accelerator neural network recurrent neural network auto-ml shufflenet depthwise convolution machine learning 딥러닝 convnets convnext a convnet for 2020s swin transformer berkley ai reserch bair denoising autoencoder autoencoder computer vision masked autoencoders are scalable vision learners self supervised learning masked autoeocnder mãe msra a battle of network structures data augmentation regularization regularization how to train your vit brain team channel mixing token mixing an all-mlp architecture for vision image classfication fc layer fully-connected layer mixer data efficient image transformer kd knowledge distillation distillation token deit detection transformer eccv2020 eccv 2020 end-to-end object detection with transformer detr matrixnms grid sensitve intersection over union iou dropblock ema exponential moving average deformable convolution paddle paddle yolo paddle paddle baidu ppyolo pp-yolo label human in the loop artificial intelligence ai mechanical turk mturk imagenet dataset dataset mit labelling classification 딥라ㅓ닝 이미지넷 imagenet regnety regnetx network design efficient net designing network design spaces nt-xent self-supervised pretraining unsupervised pretraining unsupervised learning self-supervised learning contrastive learning simclr a simple framework for contrastive learning of vis scalable and efficient object detection compound scaling bifpn panet nas-fpn retinanet googlebrain efficientdet joseph redmon redmon darknet-53 darknet one stage object detection yolo v3 lottery ticket initialization deep leaerning weight initialization network pruning pruning one ticket to win them all lottery ticket hypothesis winning ticket lottery ticket google brain mixed convolution mdconv mixed depthwise convolution mixed depthwise convolutional kernels mixnet youtube sota ws model ba model er model nas random network randomly wired neural network randomly wired network random randwire hardware aware efficient neural network netscore squeezenet squeezenext object detector 1-step 1-stage multibox single shot single shot multibox detector ssd small cnn face++ megvii v2 shufflenetv2 image recognition inverted residuals linear bottleneck learning invariant relational reasoning tasks modularity modulariy matters milà bengio relational reasoning hardware datacenter tensor processing unit tpu reinforcement learning policy gradient rnn efficient neural architecture search automl neural architecture search efficient neural architecture search via parameter enas channel shuffle grouped convolution group convolution pvanet faster r-cnn r-cnn faster rcnn region proposal network bounding box rcnn forgetting problem less forgetting learning catastrophic forgetting learning without forgetting yolov2 yolo9000 머신러닝 기계학습 인공지능