Exemplar-Free Counting
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Benchmarks
FSC147
Most implemented
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
CounTR: Transformer-based Generalised Visual Counting
Papers
CountFormer: A Transformer Framework for Learning Visual Repetition and Structure in Class-Agnostic Object Counting
Humans can often count unfamiliar objects by observing visual repetition and composition, rather than relying only on object categories. However, many exemplar-free counting models struggle in such situations and may ove…
Exemplar-Free CountingObject CountingSAVE: Self-Attention on Visual Embedding for Zero-Shot Generic Object Counting
Zero-shot counting is a subcategory of Generic Visual Object Counting, which aims to count objects from an arbitrary class in a given image. While few-shot counting relies on delivering exemplars to the model to count si…
Exemplar-Free CountingObjectObject CountingZero-Shot CountingA Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
Low-shot object counters estimate the number of objects in an image using few or no annotated exemplars. Objects are localized by matching them to prototypes, which are constructed by unsupervised image-wide object appea…
Exemplar-Free CountingFew-shot Object Counting and DetectionObjectObject Counting+3GCA-SUNet: A Gated Context-Aware Swin-UNet for Exemplar-Free Counting
Exemplar-Free Counting aims to count objects of interest without intensive annotations of objects or exemplars. To achieve this, we propose a Gated Context-Aware Swin-UNet (GCA-SUNet) to directly map an input image to th…
DecoderExemplar-FreeExemplar-Free CountingObject Counting+1DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting
Low-shot counters estimate the number of objects corresponding to a selected category, based on only few or no exemplars annotated in the image. The current state-of-the-art estimates the total counts as the sum over the…
Exemplar-Free CountingFew-shot Object Counting and DetectionObjectObject Counting+1A Low-Shot Object Counting Network With Iterative Prototype Adaptation
We consider low-shot counting of arbitrary semantic categories in the image using only few annotated exemplars (few-shot) or no exemplars (no-shot). The standard few-shot pipeline follows extraction of appearance queries…
Exemplar-Free CountingObjectObject CountingObject Localization