Picture for Megh Shukla

Megh Shukla

TIC-TAC: A Framework To Learn And Evaluate Your Covariance

Add code
Oct 29, 2023
Viaarxiv icon

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Add code
Oct 12, 2022
Figure 1 for VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Figure 2 for VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Figure 3 for VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Figure 4 for VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Viaarxiv icon

EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation

Add code
Apr 19, 2021
Figure 1 for EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation
Figure 2 for EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation
Figure 3 for EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation
Figure 4 for EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation
Viaarxiv icon

A Mathematical Analysis of Learning Loss for Active Learning in Regression

Add code
Apr 19, 2021
Figure 1 for A Mathematical Analysis of Learning Loss for Active Learning in Regression
Figure 2 for A Mathematical Analysis of Learning Loss for Active Learning in Regression
Figure 3 for A Mathematical Analysis of Learning Loss for Active Learning in Regression
Figure 4 for A Mathematical Analysis of Learning Loss for Active Learning in Regression
Viaarxiv icon

LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery

Add code
Oct 19, 2019
Figure 1 for LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery
Figure 2 for LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery
Figure 3 for LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery
Figure 4 for LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery
Viaarxiv icon