Summary of Competitive Learning For Achieving Content-specific Filters in Video Coding For Machines, by Honglei Zhang et al.
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machinesby Honglei Zhang, Jukka I.…
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machinesby Honglei Zhang, Jukka I.…
Benchmarking Label Noise in Instance Segmentation: Spatial Noise Mattersby Eden Grad, Moshe Kimhi, Lion Halika,…
Scaling Graph Convolutions for Mobile Visionby William Avery, Mustafa Munir, Radu MarculescuFirst submitted to arxiv…
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learningby Neha Kalibhat, Priyatham…
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNsby Mustafa Munir, William Avery, Md Mostafijur…
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networksby Nick Nikzad, Yongsheng Gao, Jun ZhouFirst submitted to arxiv…
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perceptionby Manideep Reddy Aliminati, Bharatesh…
Instance-Aware Group Quantization for Vision Transformersby Jaehyeon Moon, Dohyung Kim, Junyong Cheon, Bumsub HamFirst submitted…
Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labelsby…
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structuresby Lisa Mais,…