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Found 4 papers, 1 papers with code
Context-Matched Collage Generation for Underwater Invertebrate Detection
However, in many scenarios, it can be difficult to collect images for training, not to mention the costs associated with collecting annotations suitable for training these object detectors.
Context-Driven Detection of Invertebrate Species in Deep-Sea Video
Each video includes annotations indicating the start and end times of substrates across the video in addition to counts of species of interest.
GTNet:Guided Transformer Network for Detecting Human-Object Interactions
For detecting HOI, it is important to utilize relative spatial configurations and object semantics to find salient spatial regions of images that highlight the interactions between human object pairs.
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision
Current state of the art methods for generating semantic segmentation rely heavily on a large set of images that have each pixel labeled with a class of interest label or background.
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