Trending Research
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
In order to thrive in hostile and ever-changing natural environments, mammalian brains evolved to store large amounts of knowledge about the world and continually integrate new information while avoiding catastrophic forgetting.
MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion
In this paper, we propose MotionFollower, a lightweight score-guided diffusion model for video motion editing.
VideoTetris: Towards Compositional Text-to-Video Generation
Diffusion models have demonstrated great success in text-to-video (T2V) generation.
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
Simultaneous speech-to-speech translation (Simul-S2ST, a. k. a streaming speech translation) outputs target speech while receiving streaming speech inputs, which is critical for real-time communication.
Ranked #1 on
de-en
on CVSS
On the Measure of Intelligence
To make deliberate progress towards more intelligent and more human-like artificial systems, we need to be following an appropriate feedback signal: we need to be able to define and evaluate intelligence in a way that enables comparisons between two systems, as well as comparisons with humans.
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
xrli-U/MuSc
•
•
We reveal that the abundant normal and abnormal cues implicit in unlabeled test images can be exploited for anomaly determination, which is ignored by prior methods.
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
To address the challenges, we present LLaVA-UHD, a large multimodal model that can efficiently perceive images in any aspect ratio and high resolution.
Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head
om-ai-lab/OmDet
•
•
End-to-end transformer-based detectors (DETRs) have shown exceptional performance in both closed-set and open-vocabulary object detection (OVD) tasks through the integration of language modalities.
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
Our experiments demonstrate that OSEDiff achieves comparable or even better Real-ISR results, in terms of both objective metrics and subjective evaluations, than previous diffusion model based Real-ISR methods that require dozens or hundreds of steps.
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
We design models based off T5-Base and T5-Large to obtain up to 7x increases in pre-training speed with the same computational resources.
