13 citations · 31 across the 26 of their papers we have counts for
4 papers · 2 filters
LIB-KD: Teaching Inductive Bias for Efficient Vision Transformer Distillation and Compression
Gousia Habib, Tausifa Jan Saleem, Ishfaq Ahmad Malik +1
With the rapid development of computer vision, Vision Transformers (ViTs) offer the tantalising prospect of unified information processing across visual and textual domains due to…
IIITD-20K: Dense captioning for Text-Image ReID
A V Subramanyam, Niranjan Sundararajan, Vibhu Dubey +1
Text-to-Image (T2I) ReID has attracted a lot of attention in the recent past. CUHK-PEDES, RSTPReid and ICFG-PEDES are the three available benchmarks to evaluate T2I ReID methods. R…
A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation
Prashant Pandey, Mustafa Chasmai, Monish Natarajan +1
Increasing attention is being diverted to data-efficient problem settings like Open Vocabulary Semantic Segmentation (OVSS) which deals with segmenting an arbitrary object that may…
Knowledge Distillation in Vision Transformers: A Critical Review
Gousia Habib, Tausifa Jan Saleem, Brejesh Lall
In Natural Language Processing (NLP), Transformers have already revolutionized the field by utilizing an attention-based encoder-decoder model. Recently, some pioneering works have…