Europe
A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
However, establishing these correspondences has been challenging due to the noisy, irregular, non-uniform, and textureless nature of 3D point clouds. Feature matching has long been the mainstream of data association without pose priors.
ViLCo-Bench: VIdeo Language COntinual learning Benchmark Tianqi Tang
For what purpose was the dataset created? To address this, we propose ViLCo-Bench. Who created the dataset(e.g., which team, research group) and on behalf of which Who funded the creation of the dataset? What do the instances that comprise the dataset represent (e.g., documents, photos, What data does each instance consist of? Is there a label or target associated with each instance?
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
This method allows API users to easily generate, discover, and mix and match image concepts without prior knowledge of how to prompt the model.
WorldCoder,a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
We give a model-based agent that builds a Python program representing its knowledge of the world based on its interactions with the environment.
Improving neural network representations using human similarity judgments
Representation learning usually involves pretraining a network on a large, diverse dataset using one of a handful of different types of supervision.