Image Segmentation Models

Spatial CNN with UNet based Encoder-decoder and ConvLSTM

Introduced by Dong et al. in A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection

Spatial CNN with UNet based Encoder-decoder and ConvLSTM

Source: A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Image Segmentation 1 33.33%
Lane Detection 1 33.33%
Semantic Segmentation 1 33.33%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories