https://github.com/2023-MindSpore-4/Code6/tree/main/PVAnet
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
Rotation Invariant Transformer for Recognizing Object in UAVs
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
Bridged Transformer for Vision and Point Cloud 3D Object Detection
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
Learning Background-Aware Correlation Filters for Visual Tracking
Deep Learning Human Mind for Automated Visual Classification
Real-Time Grasp Detection Using Convolutional Neural Networks
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages
Training-Time-Friendly Network for Real-Time Object Detection
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.