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Found 4 papers, 1 papers with code
Self-Supervised RGB-T Tracking with Cross-Input Consistency
We propose a novel cross-input consistency-based self-supervised training strategy based on the idea that tracking can be performed using different inputs.
Benchmarking and Comparing Multi-exposure Image Fusion Algorithms
To the best of our knowledge, this is the first benchmark in the field of multi-exposure image fusion.
Multi-focus Image Fusion: A Benchmark
To solve these issues, this paper presents a multi-focus image fusion benchmark (MFIFB) which consists a test set of 105 image pairs, a code library of 30 MFIF algorithms, and 20 evaluation metrics.
VIFB: A Visible and Infrared Image Fusion Benchmark
In this paper, after briefly reviewing recent advances of visible and infrared image fusion, we present a visible and infrared image fusion benchmark (VIFB) which consists of 21 image pairs, a code library of 20 fusion algorithms and 13 evaluation metrics.
