Picture for Liang Lin

Liang Lin

Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction

Add code
Nov 30, 2021
Figure 1 for Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Figure 2 for Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Figure 3 for Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Figure 4 for Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Viaarxiv icon

Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy

Add code
Nov 08, 2021
Figure 1 for Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Figure 2 for Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Figure 3 for Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Figure 4 for Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Viaarxiv icon

Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis

Add code
Oct 28, 2021
Figure 1 for Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis
Figure 2 for Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis
Figure 3 for Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis
Figure 4 for Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis
Viaarxiv icon

Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference

Add code
Oct 26, 2021
Figure 1 for Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
Figure 2 for Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
Figure 3 for Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
Figure 4 for Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
Viaarxiv icon

Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation

Add code
Oct 16, 2021
Figure 1 for Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation
Figure 2 for Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation
Figure 3 for Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation
Figure 4 for Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation
Viaarxiv icon

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition

Add code
Oct 09, 2021
Figure 1 for Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
Figure 2 for Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
Figure 3 for Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
Figure 4 for Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
Viaarxiv icon

Road Network Guided Fine-Grained Urban Traffic Flow Inference

Add code
Sep 29, 2021
Figure 1 for Road Network Guided Fine-Grained Urban Traffic Flow Inference
Figure 2 for Road Network Guided Fine-Grained Urban Traffic Flow Inference
Figure 3 for Road Network Guided Fine-Grained Urban Traffic Flow Inference
Figure 4 for Road Network Guided Fine-Grained Urban Traffic Flow Inference
Viaarxiv icon

Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift

Add code
Aug 22, 2021
Figure 1 for Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Figure 2 for Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Figure 3 for Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Figure 4 for Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Viaarxiv icon

Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning

Add code
Aug 12, 2021
Figure 1 for Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Figure 2 for Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Figure 3 for Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Figure 4 for Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Viaarxiv icon

Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

Add code
Aug 09, 2021
Figure 1 for Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Figure 2 for Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Figure 3 for Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Figure 4 for Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Viaarxiv icon