RichardMinsooGo-ML

5_TF2_UCF101_video_classification

6_TF2_Object_Detection

Bible_3_22_Pytorch_YOLO_v4_Image

Bible_3_32_Pytorch_Complex_Yolo_Yolov4

Bible_3_41_Pytorch_Yolo_3d_Yolov3

Bible_3_42_Pytorch_Yolo_3d_Yolov4

TF1_1_machine_learning_Basics

TF1_2_machie_learning_MNIST_CNN

TF1_3_machine_learning_NLP_AE_GAN_RNN

TF1_4_machine_learning_Alexnet_VGG_Resnet_Inception

RichardMinsooGo-ML/5_TF2_UCF101_video_classification

RichardMinsooGo-ML/Bible_4_Part_B_Non_Neural_Approach

RichardMinsooGo-ML/Bible_4_Part_J_Centernet_Lite

RichardMinsooGo-ML/Bible_4_Part_J_Centernet_Plus

RichardMinsooGo-ML/Bible_4_Part_J_K_Pytorch_SSD_Retinanet_Faster_R_CNN

RichardMinsooGo-ML/Bible_4_Part_J_Retina_FCOS_YOLOF

RichardMinsooGo-ML/Bible_4_Part_K_02_R_CNN

RichardMinsooGo-ML/Bible_4_Part_K_04_Pytorch_Faster_R_CNN

RichardMinsooGo-ML/Bible_4_Part_K_05_Masked_R_CNN

RichardMinsooGo-ML/Bible_4_Part_L_08_DETR_Anchor_DETR

RichardMinsooGo-ML/Bible_4_Part_L_09_Deformable-DETR

RichardMinsooGo-ML/Bible_4_Part_M_Semantic_Segmentation

RichardMinsooGo-ML/Bible_9_Part_C_05_UP-DETR

[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

RichardMinsooGo-ML/Bible_9_Part_C_07_OW-DETR

[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer

RichardMinsooGo-ML/Bible_9_Part_C_09_SMCA-DETR

RichardMinsooGo-ML/Bible_9_Part_C_10_Sparse-DETR

PyTorch Implementation of Sparse DETR

RichardMinsooGo-ML/Bible_9_Part_C_12_DE-DETRs

Official Implementation of DE-DETR and DELA-DETR in "Towards Data-Efficient Detection Transformers"

RichardMinsooGo-ML/Bible_9_Part_C_15_DETA

Detection Transformers with Assignment

RichardMinsooGo-ML/Bible_9_Part_C_16_DINO

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

RichardMinsooGo-ML/Bible_9_Part_C_17_DN-DETR

[CVPR 2022 Oral] Official implementation of DN-DETR

RichardMinsooGo-ML/Bible_9_Part_C_19_SAM-DETR

[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation

RichardMinsooGo-ML/Bible_9_Part_C_23_WB-DETR

RichardMinsooGo-ML/25_LW-DETR

This repository is an official implementation of the paper "LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection".

RichardMinsooGo-ML/Bible_4_Part_F_06_Pytorch_Yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

RichardMinsooGo-ML/Bible_9_Part_C_03_Deformable-DETR_2

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

RichardMinsooGo-ML/Bible_9_Part_C_06_Conditional-DETR

This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)

RichardMinsooGo-ML/Bible_9_Part_C_08_PnP-DETR

Implementation of ICCV21 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers

RichardMinsooGo-ML/Bible_9_Part_C_20_GroundingDINO

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

RichardMinsooGo-ML/Bible_9_Part_C_22_MS-DETR

[CVPR 2024] The official implementation for "MS-DETR: Efficient DETR Training with Mixed Supervision"

RichardMinsooGo-ML/Bible_9_Part_C_26_CL-DETR

PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)