DECORE: Deep Compression with Reinforcement Learning | 0 | 0.34 | 2022 |
Gaze Estimation via Modulation-Based Adaptive Network With Auxiliary Self-Learning | 0 | 0.34 | 2022 |
Region-of-interest and channel attention-based joint optimization of image compression and computer vision | 0 | 0.34 | 2022 |
Contrastive Learning for Unsupervised Video Highlight Detection | 0 | 0.34 | 2022 |
Referring Segmentation in Images and Videos With Cross-Modal Self-Attention Network | 0 | 0.34 | 2022 |
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting | 1 | 0.35 | 2022 |
Joint Visual and Audio Learning for Video Highlight Detection. | 0 | 0.34 | 2021 |
Image Change Captioning by Learning from an Auxiliary Task | 0 | 0.34 | 2021 |
Video Captioning Of Future Frames | 0 | 0.34 | 2021 |
A Deep Learning Framework for Malware Classification | 0 | 0.34 | 2020 |
Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation | 0 | 0.34 | 2020 |
Attentional coarse-and-fine generative adversarial networks for image inpainting. | 0 | 0.34 | 2020 |
Weakly supervised instance segmentation using multi-stage erasing refinement and saliency-guided proposals ordering | 0 | 0.34 | 2020 |
Deep Learning-Based Image Compression with Trellis Coded Quantization | 0 | 0.34 | 2020 |
Composed Query Image Retrieval Using Locally Bounded Features | 1 | 0.35 | 2020 |
Domain Adaptation in Crowd Counting | 0 | 0.34 | 2020 |
Dual Convolutional LSTM Network for Referring Image Segmentation | 4 | 0.44 | 2020 |
Unsupervised Learning of Camera Pose with Compositional Re-estimation | 0 | 0.34 | 2020 |
Fine-Grained Image Classification with Coarse and Fine Labels on One-Shot Learning | 0 | 0.34 | 2020 |
One-Shot Video Object Segmentation Using Attention Transfer | 0 | 0.34 | 2019 |
Weakly labeled fine-grained classification with hierarchy relationship of fine and coarse labels. | 2 | 0.43 | 2019 |
Video Summarization By Learning From Unpaired Data | 6 | 0.39 | 2019 |
One-Shot Scene-Specific Crowd Counting. | 1 | 0.35 | 2019 |
Video-Based Person Re-Identification using Refined Attention Networks | 0 | 0.34 | 2019 |
Saliency detection via multi-level integration and multi-scale fusion neural networks. | 1 | 0.34 | 2019 |
Non-Local Attentive Temporal Network for Video-Based Person Re-Identification | 0 | 0.34 | 2019 |
Crowd Counting Using Scale-Aware Attention Networks | 6 | 0.40 | 2019 |
Semantic Segmentation in Compressed Videos | 0 | 0.34 | 2019 |
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection | 0 | 0.34 | 2019 |
Cross-Modal Self-Attention Network For Referring Image Segmentation | 10 | 0.50 | 2019 |
Future Semantic Segmentation with Convolutional LSTM. | 0 | 0.34 | 2018 |
Context-Aware Action Detection in Untrimmed Videos Using Bidirectional LSTM | 0 | 0.34 | 2018 |
Learning Semantic Segmentation With Diverse Supervision | 3 | 0.45 | 2018 |
Video-based Person Re-identification Using Spatial-Temporal Attention Networks. | 0 | 0.34 | 2018 |
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling. | 1 | 0.35 | 2018 |
Visual Relationship Detection Using Joint Visual-Semantic Embedding | 0 | 0.34 | 2018 |
Learning Video Summarization Using Unpaired Data. | 1 | 0.36 | 2018 |
Privacy-Preserving Age Estimation for Content Rating | 0 | 0.34 | 2018 |
Label Refinement Network for Coarse-to-Fine Semantic Segmentation. | 2 | 0.36 | 2017 |
Salient Object Detection using a Context-Aware Refinement Network. | 1 | 0.35 | 2017 |
Weakly Supervised Image Classification with Coarse and Fine Labels | 0 | 0.34 | 2017 |
Person Re-Identification by Localizing Discriminative Regions. | 0 | 0.34 | 2017 |
Salient Object Segmentation via Effective Integration of Saliency and Objectness. | 11 | 0.51 | 2017 |
Object Localization In Weakly Labeled Data Using Regularized Attention Networks | 0 | 0.34 | 2017 |
Somatic Copy Number Alteration-Based Prediction of Molecular Subtypes of Breast Cancer Using Deep Learning Model. | 0 | 0.34 | 2017 |
Depth-aware object instance segmentation | 1 | 0.35 | 2017 |
Learning Neural Networks with Ranking-Based Losses for Action Retrieval | 0 | 0.34 | 2016 |
Attention Networks for Weakly Supervised Object Localization. | 1 | 0.35 | 2016 |
Weakly supervised object localization and segmentation in videos. | 2 | 0.41 | 2016 |
Dense Image Labeling Using Deep Convolutional Neural Networks | 0 | 0.34 | 2016 |