Small Object Detection

40 papers with code • 4 benchmarks • 11 datasets

Small Object Detection is a computer vision task that involves detecting and localizing small objects in images or videos. This task is challenging due to the small size and low resolution of the objects, as well as other factors such as occlusion, background clutter, and variations in lighting conditions.

( Image credit: Feature-Fused SSD )

FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression

rezafuru/the-fool 25 Mar 2024

Further, it embeds context and leverages inter-tile dependencies to lower transfer costs with negligible overhead.

1
25 Mar 2024

HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection

zhengshuchen/hcfnet 16 Mar 2024

Infrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few pixels.

15
16 Mar 2024

YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection

scnu-rislab/yolo-ant 20 Feb 2024

In this article, an antenna dataset is created to address important antenna interference source detection issues and serves as the basis for subsequent research.

1
20 Feb 2024

HIC-YOLOv5: Improved YOLOv5 For Small Object Detection

Jacoo-ai/HIC-Yolov5 28 Sep 2023

Small object detection has been a challenging problem in the field of object detection.

22
28 Sep 2023

Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art

arekavandi/transformer-sod 10 Sep 2023

Transformers have rapidly gained popularity in computer vision, especially in the field of object recognition and detection.

128
10 Sep 2023

Ensemble Fusion for Small Object Detection

elsa-lab/MVATeam1 18th International Conference on Machine Vision and Applications (MVA) 2023

Detecting small objects is often impeded by blurriness and low resolution, which poses substantial challenges for accurately detecting and localizing such objects.

12
22 Aug 2023

Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning

shaunyuan22/cfinet ICCV 2023

The past few years have witnessed the immense success of object detection, while current excellent detectors struggle on tackling size-limited instances.

86
18 Aug 2023

BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation

shinya7y/UniverseNet 21 Jul 2023

Scale-wise evaluation of object detectors is important for real-world applications.

416
21 Jul 2023

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

iim-ttij/mva2023smallobjectdetection4spottingbirds 18 Jul 2023

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.

94
18 Jul 2023

3D Small Object Detection with Dynamic Spatial Pruning

xuxw98/dspdet3d 5 May 2023

Specifically, we theoretically derive a dynamic spatial pruning (DSP) strategy to prune the redundant spatial representation of 3D scene in a cascade manner according to the distribution of objects.

82
05 May 2023