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adapnet

TensorFlow model for training AdapNet for semantic segmentation

adapnet-pp

TensorFlow model for training AdapNet++ for semantic segmentation

adversarial-skill-networks

Implementation of Adversarial Skill Networks for learning reusable and composable skills from unlabeled videos.

calvin

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

cmode

TensorFlow model for training CMoDE for multimodal semantic segmentation

deep_adaptive_fusion

Implements an adaptive gating sensor fusion approach for object detection based on a mixture of convolutional neural networks

dl-lab-2018

Deep Learning Lab WS 18/19, University of Freiburg

dl-lab-ss19

Deep Learning Lab SS19, University of Freiburg

dl_lab_2017

freiburg_groceries_dataset

Freiburg Groceries Dataset

generalize_spatial_relations

Code for the paper "Metric Learning for Generalizing Spatial Relations to New Objects" (IROS 2017)

lanegnn

Repository for the UrbanLaneGraph Dataset & Benchmark and the LaneGNN approach

self_deepmask

self-supervised instance segmentation for robots

smsnet

Model-evaluator of Publication : "SMSnet: Semantic Motion Segmentation using Deep Convolutional Neural Networks"

ssma

TensorFlow model for training SSMA for multimodal semantic segmentation

t3vip

T3VIP: Transformation-based 3D Video Prediction