An efficient transformer architecture for BEV instance prediction reduces parameter counts and inference times versus SOTA by relying on a simplified paradigm of only instance segmentation and flow prediction.
Are we ready for autonomous driving? the kitti vision benchmark suite,
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A literature survey of NeRF and neural field methods from 2020-2025, organized by architecture and application taxonomies with benchmarks and dataset overviews, covering both pre- and post-Gaussian Splatting periods.
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Fast and Efficient Transformer-based Method for Bird's Eye View Instance Prediction
An efficient transformer architecture for BEV instance prediction reduces parameter counts and inference times versus SOTA by relying on a simplified paradigm of only instance segmentation and flow prediction.
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NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)
A literature survey of NeRF and neural field methods from 2020-2025, organized by architecture and application taxonomies with benchmarks and dataset overviews, covering both pre- and post-Gaussian Splatting periods.