827 research outputs found
How good are detection proposals, really?
Current top performing Pascal VOC object detectors employ detection proposals
to guide the search for objects thereby avoiding exhaustive sliding window
search across images. Despite the popularity of detection proposals, it is
unclear which trade-offs are made when using them during object detection. We
provide an in depth analysis of ten object proposal methods along with four
baselines regarding ground truth annotation recall (on Pascal VOC 2007 and
ImageNet 2013), repeatability, and impact on DPM detector performance. Our
findings show common weaknesses of existing methods, and provide insights to
choose the most adequate method for different settings
Learning non-maximum suppression
Object detectors have hugely profited from moving towards an end-to-end
learning paradigm: proposals, features, and the classifier becoming one neural
network improved results two-fold on general object detection. One
indispensable component is non-maximum suppression (NMS), a post-processing
algorithm responsible for merging all detections that belong to the same
object. The de facto standard NMS algorithm is still fully hand-crafted,
suspiciously simple, and -- being based on greedy clustering with a fixed
distance threshold -- forces a trade-off between recall and precision. We
propose a new network architecture designed to perform NMS, using only boxes
and their score. We report experiments for person detection on PETS and for
general object categories on the COCO dataset. Our approach shows promise
providing improved localization and occlusion handling.Comment: Added "Supplementary material" titl
Taking a Deeper Look at Pedestrians
In this paper we study the use of convolutional neural networks (convnets)
for the task of pedestrian detection. Despite their recent diverse successes,
convnets historically underperform compared to other pedestrian detectors. We
deliberately omit explicitly modelling the problem into the network (e.g. parts
or occlusion modelling) and show that we can reach competitive performance
without bells and whistles. In a wide range of experiments we analyse small and
big convnets, their architectural choices, parameters, and the influence of
different training data, including pre-training on surrogate tasks.
We present the best convnet detectors on the Caltech and KITTI dataset. On
Caltech our convnets reach top performance both for the Caltech1x and
Caltech10x training setup. Using additional data at training time our strongest
convnet model is competitive even to detectors that use additional data
(optical flow) at test time
What makes for effective detection proposals?
Current top performing object detectors employ detection proposals to guide
the search for objects, thereby avoiding exhaustive sliding window search
across images. Despite the popularity and widespread use of detection
proposals, it is unclear which trade-offs are made when using them during
object detection. We provide an in-depth analysis of twelve proposal methods
along with four baselines regarding proposal repeatability, ground truth
annotation recall on PASCAL, ImageNet, and MS COCO, and their impact on DPM,
R-CNN, and Fast R-CNN detection performance. Our analysis shows that for object
detection improving proposal localisation accuracy is as important as improving
recall. We introduce a novel metric, the average recall (AR), which rewards
both high recall and good localisation and correlates surprisingly well with
detection performance. Our findings show common strengths and weaknesses of
existing methods, and provide insights and metrics for selecting and tuning
proposal methods.Comment: TPAMI final version, duplicate proposals removed in experiment
Venture Capital Investment in the Life Sciences in Switzerland
Innovation is one of the main driving factors for continuous and healthy economic growth and welfare. Switzerland as a resource-poor country is particularly dependent on innovation, and the life sciences, which comprise biotechnologies, (bio)pharmaceuticals, medical technologies and
diagnostics, are one of the key areas of innovative strength of Switzerland. Venture capital financing and venture capitalists (frequently called 'VCs') and investors in public equities have played and still play a pivotal role in financing the Swiss biotechnology industry. In the following
some general features of venture capital investment in life sciences as well as some opportunities and challenges which venture capital investors in Switzerland are facing are highlighted. In addition certain means to counteract these challenges including the 'Zukunftsfonds Schweiz' are discussed
PERJANJIAN BANTUAN TIMBAL BALIK DALAM MASALAH PIDANA ANTARA REPUBLIK INDONESIA DAN REPUBLIK SOSIALIS VIETNAM
Tujuan dilakukannya penelitian ini adalah untuk mengetahui bagaimanakah pemberian bantuan timbal balik dalam masalah pidana antara Republik Indonesia dan Republik Sosialis Vietnam dan bagaimanakah penolakan bantuan timbal balik dalam masalah pidana antara Republik Indonesia dan Republik Sosialis Vietnam di mana dengan metode penelitian hukum normatif disimpulkan: 1. Pemberian bantuan timbal balik dalam masalah pidana antara Republik Indonesia dan Republik Sosialis Vietnam diantaranya pencarian dan pengidentifikasian orang dan barang; pemeriksaan barang dan lokasi, penyampaian dokumen, termasuk dokumen untuk mengupayakan kehadiran orang; penyediaan informasi, dokumen, catatan, dan barang bukti, penyediaan dokumen asli atau salinan resmi yang relevan, catatan, dan barang bukti, penyediaan barang, termasuk peminjaman barang bukti, penggeledahan dan penyitaan, pengambilan barang bukti dan keterangan dan bantuan timbali balik dalam masalah pidana lainnya. 2. Penolakan bantuan timbal balik dalam masalah pidana antara Republik Indonesia dan Republik Sosialis Vietnam dilakukan apabila menurut pandangan Pihak Diminta, pelaksanaan permintaan dimaksud akan mengganggu kedaulatan, keamanan, ketertiban umum, atau kepentingan umum dan permintaan terkait dengan tindak pidana yang tersangkanya telah dinyatakan tidak bersalah atau diampuni serta permintaan terkait dengan suatu penuntutan terhadap seseorang atas tindak pidana yang telah dijatuhi putusan yang berkekuatan hukum tetap.Kata kunci: bantuan timbal balik
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