Trending Research
DAMO-YOLO : A Report on Real-Time Object Detection Design
In this report, we present a fast and accurate object detection method dubbed DAMO-YOLO, which achieves higher performance than the state-of-the-art YOLO series.
Ranked #12 on
Real-Time Object Detection
on COCO
Dual PatchNorm
lucidrains/musiclm-pytorch
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We propose Dual PatchNorm: two Layer Normalization layers (LayerNorms), before and after the patch embedding layer in Vision Transformers.
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
AttendAndExcite/Attend-and-Excite
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Recent text-to-image generative models have demonstrated an unparalleled ability to generate diverse and creative imagery guided by a target text prompt.
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data
We introduce the Salesforce CausalAI Library, an open-source library for causal analysis using observational data.
OpenSpike: An OpenRAM SNN Accelerator
This paper presents a spiking neural network (SNN) accelerator made using fully open-source EDA tools, process design kit (PDK), and memory macros synthesized using OpenRAM.
Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline
Our Fast-BEV consists of five parts, We novelly propose (1) a lightweight deployment-friendly view transformation which fast transfers 2D image feature to 3D voxel space, (2) an multi-scale image encoder which leverages multi-scale information for better performance, (3) an efficient BEV encoder which is particularly designed to speed up on-vehicle inference.
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
We propose Cut-and-LEaRn (CutLER), a simple approach for training unsupervised object detection and segmentation models.
Epic-Sounds: A Large-scale Dataset of Actions That Sound
epic-kitchens/epic-sounds-annotations
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We introduce EPIC-SOUNDS, a large-scale dataset of audio annotations capturing temporal extents and class labels within the audio stream of the egocentric videos.
LAION-5B: An open large-scale dataset for training next generation image-text models
mlfoundations/open_clip
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NeurIPS 2022 Datasets and Benchmarks 2022
We show successful replication and fine-tuning of foundational models like CLIP, GLIDE and Stable Diffusion using the dataset, and discuss further experiments enabled with an openly available dataset of this scale.
ArchiSound: Audio Generation with Diffusion
archinetai/audio-diffusion-pytorch
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The recent surge in popularity of diffusion models for image generation has brought new attention to the potential of these models in other areas of media generation.
