Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

no code implementations • CVPR 2022 • Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song

In this paper, we push the boundary further for FSCIL by addressing two key questions that bottleneck its ubiquitous application (i) can the model learn from diverse modalities other than just photo (as humans do), and (ii) what if photos are not readily accessible (due to ethical and privacy constraints).

Few-Shot Class-Incremental Learning Graph Attention +2

Partially Does It: Towards Scene-Level FG-SBIR with Partial Input

no code implementations • CVPR 2022 • Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song

We scrutinise an important observation plaguing scene-level sketch research -- that a significant portion of scene sketches are "partial".

Retrieval Sketch-Based Image Retrieval

MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network

no code implementations • 7 Dec 2020 • Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey

The proposed model takes advantage of spatial-temporal attention and channel attention together, to learn deeper fine-grained subtle features for classification of emotions.

Micro Expression Recognition Micro-Expression Recognition