31 citations · 42 across the 6 of their papers we have counts for
8 papers · 1 filter
Livestock Monitoring with Transformer
Bhavesh Tangirala, Ishan Bhandari, Daniel Laszlo +3
Tracking the behaviour of livestock enables early detection and thus prevention of contagious diseases in modern animal farms. Apart from economic gains, this would reduce the amou…
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations
Rishabh Tiwari, Udbhav Bamba, Arnav Chavan +1
Structured pruning methods are among the effective strategies for extracting small resource-efficient convolutional neural networks from their dense counterparts with minimal loss…
Rescaling CNN through Learnable Repetition of Network Parameters
Arnav Chavan, Udbhav Bamba, Rishabh Tiwari +1
Deeper and wider CNNs are known to provide improved performance for deep learning tasks. However, most such networks have poor performance gain per parameter increase. In this pape…
Rotation Equivariant Siamese Networks for Tracking
Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
Rotation is among the long prevailing, yet still unresolved, hard challenges encountered in visual object tracking. The existing deep learning-based tracking algorithms use regular…
Siamese Tracking with Lingual Object Constraints
Maximilian Filtenborg, Efstratios Gavves, Deepak Gupta
Classically, visual object tracking involves following a target object throughout a given video, and it provides us the motion trajectory of the object. However, for many practical…
Hard Occlusions in Visual Object Tracking
Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta
Visual object tracking is among the hardest problems in computer vision, as trackers have to deal with many challenging circumstances such as illumination changes, fast motion, occ…