HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues

no code implementations • 23 Sep 2023 • Ankit Jha, Debabrata Pal, Mainak Singha, Naman Agarwal, Biplab Banerjee

Even though joint training of audio-visual modalities improves classification performance in a low-data regime, it has yet to be thoroughly investigated in the RS domain.

Few-Shot Learning

Domain Adaptive Few-Shot Open-Set Learning

1 code implementation • ICCV 2023 • Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee

Few-shot learning has made impressive strides in addressing the crucial challenges of recognizing unknown samples from novel classes in target query sets and managing visual shifts between domains.

cross-domain few-shot learning Few-Shot Learning +1

MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation

no code implementations • 18 Feb 2023 • Shirsha Bose, Ritesh Sur Chowdhury, Debabrata Pal, Shivashish Bose, Biplab Banerjee, Subhasis Chaudhuri

Efficient road and building footprint extraction from satellite images are predominant in many remote sensing applications.