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Found 8 papers, 6 papers with code
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Training text-to-image models with web scale image-text pairs enables the generation of a wide range of visual concepts from text.
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
Vision-language models trained with contrastive learning on large-scale noisy data are becoming increasingly popular for zero-shot recognition problems.
PACO: Parts and Attributes of Common Objects
This motivates the need for large datasets which go beyond traditional object masks and provide richer annotations such as part masks and attributes.
Visualizing Information Bottleneck through Variational Inference
The Information Bottleneck theory provides a theoretical and computational framework for finding approximate minimum sufficient statistics.
Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
Second, we investigate the sim2real predictivity of Habitat-Sim for PointGoal navigation.
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
We leverage this scaling to train an agent for 2. 5 Billion steps of experience (the equivalent of 80 years of human experience) -- over 6 months of GPU-time training in under 3 days of wall-clock time with 64 GPUs.
Ranked #1 on
PointGoal Navigation
on Gibson PointGoal Navigation
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
We propose SplitNet, a method for decoupling visual perception and policy learning.
Habitat: A Platform for Embodied AI Research
We present Habitat, a platform for research in embodied artificial intelligence (AI).
Ranked #2 on
PointGoal Navigation
on Gibson PointGoal Navigation
