5 citations · 8 across the 9 of their papers we have counts for
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cs.CV2023★ 3 cited
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape
Chaoning Zhang, Yu Qiao, Shehbaz Tariq +5
In contrast to the human vision that mainly depends on the shape for recognizing the objects, deep image recognition models are widely known to be biased toward texture. Recently,…
cs.CV2023★ 5 cited
Segment Anything Meets Semantic Communication
Shehbaz Tariq, Brian Estadimas Arfeto, Chaoning Zhang +1
In light of the diminishing returns of traditional methods for enhancing transmission rates, the domain of semantic communication presents promising new frontiers. Focusing on imag…