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Found 4 papers, 2 papers with code
Small Object Detection for Birds with Swin Transformer
Object detection is the task of detecting objects in an image.
Ranked #4 on
Small Object Detection
on SOD4SB Public Test
(using extra training data)
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image appearances of small objects.
Ranked #2 on
Small Object Detection
on SOD4SB Public Test
(using extra training data)
Dual Node and Edge Fairness-Aware Graph Partition
To address this gap, we propose a notion edge balance to measure the proportion of edges connecting different demographic groups in clusters.
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
Recently, Meta AI Research approaches a general, promptable Segment Anything Model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B).
