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AI Frontier Lectures
AI Frontier Lectures
Sep 9, 2025 · Artificial Intelligence

Can UniConvNet Expand Receptive Fields While Preserving Gaussian Distribution?

The paper introduces UniConvNet, a novel convolutional architecture that expands the effective receptive field (ERF) of ConvNets without breaking the asymptotically Gaussian distribution (AGD), achieving superior accuracy‑parameter and accuracy‑FLOPs trade‑offs across image classification, detection, and segmentation benchmarks.

Effective Receptive FieldUniConvNetconvolutional neural networks
0 likes · 9 min read
Can UniConvNet Expand Receptive Fields While Preserving Gaussian Distribution?
AIWalker
AIWalker
Aug 18, 2025 · Artificial Intelligence

UniConvNet: Expanding Effective Receptive Field for a SOTA CNN Vision Backbone (ICCV 2025)

UniConvNet introduces a three‑layer receptive‑field aggregator that combines small kernels to enlarge the effective receptive field while preserving its Gaussian distribution, achieving state‑of‑the‑art results on ImageNet‑1K, COCO2017 and ADE20K with only 30M parameters and 5.1G FLOPs.

CNNEffective Receptive FieldICCV2025
0 likes · 6 min read
UniConvNet: Expanding Effective Receptive Field for a SOTA CNN Vision Backbone (ICCV 2025)